Harvest Desktop: Business Review Insights from Harvest
Comprehensive Guide to Gathering Data on ARPU, Average Daily Consumption per Household, and No Credit Household Insights
This guide provides a step-by-step approach to collecting data on Average Revenue Per User (ARPU), Average Daily Consumption per household, and insights into households with no credit, essential for in-depth business analysis.
Part 1: Gathering ARPU and Average Daily Consumption Data
- Access the Portal: Navigate to the Harvest Platform.
- Navigate to the dropdown on top of page: Select the customer to access detailed technical data.
- Open Overview Menu: Click on the 'Overview' tab in the menu to view various metrics.
- Select Financials Page: Find and click on the 'Financials' page for financial metrics.
- Set the Filter Period: Use the 'Filter period' option to select the relevant timeframe for your analysis.
- Find ARPU Data:
- Hover over the Average Revenue per User (HTG) graph.
- Record the 'ARPU (Energy)' value from the information box for the desired month.
- Find Average Daily Consumption Data:
- Hover over the Average Revenue per User (HTG) graph.
- Record the average daily consumption value from the information box for the desired month.
Part 2: Analysing No Credit Household Insights
- Access No Credit Household Insights: Stay on the Alina Energy Overview page.
- Select the Customer: Select the customer from the main page.
- Navigate to Overview: Click on 'Overview' in the menu to proceed.
- Go to Financials: Select the 'Financials' page to access detailed insights.
- Choose Filter Period: Adjust the filter to the period you wish to analyze for no credit households. (Business Reviews are done on a monthly basis.)
- Access No-Credit Household Table:
- Hover over the No-credit household Table.
- Extract the CSV data and add the csv to the relevant customer success folder in google drive for a more detailed analysis.
- Filter for No Credit Balance: In the extracted data, filter the 'No credit balance' column to 'No credit' to isolate households without any credit.
- Filter for Total No-Credit Days: Apply a filter to the 'Total No-Credit Days' column for values greater than 15 days.
- Count Relevant Households: Calculate the total number of no credit households with total no credit days greater than 15.
Additional Resources
For visual guidance, refer to the video tutorial links provided below. These tutorials offer step-by-step visual instructions to complement the written guide, ensuring a thorough understanding of the data collection process.
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